David Hallac - RankMe

22 papers A* 6A 1Journal 13Unranked 2

Year	Rank	Type	Title / Venue / Authors
2021	J	`jnl`	Driver2vec: Driver Identification from Automotive Data. CoRR Jingbo Yang, Ruge Zhao, Meixian Zhu, David Hallac, Jaka Sodnik, Jure Leskovec
2019	J	`jnl`	Distributed majorization-minimization for Laplacian regularized problems. IEEE CAA J. Autom. Sinica Jonathan Tuck, David Hallac, Stephen P. Boyd
2019	J	`jnl`	Greedy Gaussian segmentation of multivariate time series. Adv. Data Anal. Classif. David Hallac, Peter Nystrup, Stephen P. Boyd
2018	J	`jnl`	CASC: Context-Aware Segmentation and Clustering for Motif Discovery in Noisy Time Series Data. CoRR Saachi Jain, David Hallac, Rok Sosic, Jure Leskovec
2018	A*	`conf`	Data-Driven Model Predictive Control of Autonomous Mobility-on-Demand Systems. ICRA Ramón Iglesias, Federico Rossi, Kevin Wang, David Hallac, Jure Leskovec, Marco Pavone
2018	—	`conf`	Drive2Vec: Multiscale State-Space Embedding of Vehicular Sensor Data. ITSC David Hallac, Suvrat Bhooshan, Michael H. Chen, Kacem Abida, Rok Sosic, Jure Leskovec
2018	J	`jnl`	Drive2Vec: Multiscale State-Space Embedding of Vehicular Sensor Data. CoRR David Hallac, Suvrat Bhooshan, Michael H. Chen, Kacem Abida, Rok Sosic, Jure Leskovec
2018	A*	`conf`	Learning Structural Node Embeddings via Diffusion Wavelets. KDD Claire Donnat, Marinka Zitnik, David Hallac, Jure Leskovec
2018	A*	`conf`	Toeplitz Inverse Covariance-based Clustering of Multivariate Time Series Data. IJCAI David Hallac, Sagar Vare, Stephen P. Boyd, Jure Leskovec
2017	J	`jnl`	Data-Driven Model Predictive Control of Autonomous Mobility-on-Demand Systems. CoRR Ramón Iglesias, Federico Rossi, Kevin Wang, David Hallac, Jure Leskovec, Marco Pavone
2017	J	`jnl`	Driver Identification Using Automobile Sensor Data from a Single Turn. CoRR David Hallac, Abhijit Sharang, Rainer Stahlmann, Andreas Lamprecht, Markus Huber, Martin Roehder, Rok Sosic, Jure Leskovec
2017	A	`conf`	Learning the Network Structure of Heterogeneous Data via Pairwise Exponential Markov Random Fields. AISTATS Youngsuk Park, David Hallac, Stephen P. Boyd, Jure Leskovec
2017	A*	`conf`	Network Inference via the Time-Varying Graphical Lasso. KDD David Hallac, Youngsuk Park, Stephen P. Boyd, Jure Leskovec
2017	J	`jnl`	Network Inference via the Time-Varying Graphical Lasso. CoRR David Hallac, Youngsuk Park, Stephen P. Boyd, Jure Leskovec
2017	J	`jnl`	SnapVX: A Network-Based Convex Optimization Solver. J. Mach. Learn. Res. David Hallac, Christopher Wong, Steven Diamond, Abhijit Sharang, Rok Sosic, Stephen P. Boyd, Jure Leskovec
2017	J	`jnl`	Spectral Graph Wavelets for Structural Role Similarity in Networks. CoRR Claire Donnat, Marinka Zitnik, David Hallac, Jure Leskovec
2017	A*	`conf`	Toeplitz Inverse Covariance-Based Clustering of Multivariate Time Series Data. KDD David Hallac, Sagar Vare, Stephen P. Boyd, Jure Leskovec
2017	J	`jnl`	Toeplitz Inverse Covariance-Based Clustering of Multivariate Time Series Data. CoRR David Hallac, Sagar Vare, Stephen P. Boyd, Jure Leskovec
2016	—	`conf`	Driver identification using automobile sensor data from a single turn. ITSC David Hallac, Abhijit Sharang, Rainer Stahlmann, Andreas Lamprecht, Markus Huber, Martin Roehder, Rok Sosic, Jure Leskovec
2015	A*	`conf`	Network Lasso: Clustering and Optimization in Large Graphs. KDD David Hallac, Jure Leskovec, Stephen P. Boyd
2015	J	`jnl`	Network Lasso: Clustering and Optimization in Large Graphs. CoRR David Hallac, Jure Leskovec, Stephen P. Boyd
2015	J	`jnl`	SnapVX: A Network-Based Convex Optimization Solver. CoRR David Hallac, Christopher Wong, Steven Diamond, Rok Sosic, Stephen P. Boyd, Jure Leskovec